code: def testGradientForScalar(self):
      x = constant_op.constant(1, dtype=dtypes.float32)
  
      def func(x):
          v = array_ops.broadcast_to(x, [2, 4, 3])
          return 2 * v
  
      with self.cached_session():
          err = gradient_checker_v2.max_error(
              *gradient_checker_v2.compute_gradient(func, [x])
          )
  
      self.assertLess(err, 1e-4)
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 12 for calling the BroadcastToTest obj's underlying member method code with example usage: obj.testGradientForScalar() and returns: unknown